Title :
Linguistic approach to time series analysis and forecasts
Author :
Martin Štěpnička;Antonín Dvořák;Viktor Pavliska;Lenka Vavříčková
Author_Institution :
Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30.dubna 22, 701 03 Ostrava, Czech Republic
Abstract :
Linguistic approach of time series analysis is suggested. It adopts aspects of the decomposition and autoregression. The linguistic, i.e., interpretable and transparent, nature of the approach is emphasized. Precision of the suggested approach is demonstrated on real time series.
Keywords :
"Pragmatics","Context","Time series analysis","Fuzzy sets","Transforms","Biological system modeling","Natural languages"
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Print_ISBN :
978-1-4244-6919-2
DOI :
10.1109/FUZZY.2010.5584339